Articles | Volume 26, issue 16
https://doi.org/10.5194/hess-26-4279-2022
https://doi.org/10.5194/hess-26-4279-2022
Research article
 | 
22 Aug 2022
Research article |  | 22 Aug 2022

An algorithm for deriving the topology of belowground urban stormwater networks

Taher Chegini and Hong-Yi Li

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Cited articles

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Short summary
Belowground urban stormwater networks (BUSNs) play a critical and irreplaceable role in preventing or mitigating urban floods. However, they are often not available for urban flood modeling at regional or larger scales. We develop a novel algorithm to estimate existing BUSNs using ubiquitously available aboveground data at large scales based on graph theory. The algorithm has been validated in different urban areas; thus, it is well transferable.
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